Adinical trial was conducted to test the effectiveness of a drug for treating insomnia in older subjects Before treatment, 14 stjects had a mean wake time of 105.0 min. After treatment, the 14 subjects had cand a standard deviation of 21.7 min. Assume that the 14 sample values appear to be from a normally distributed population and construct a 99% confidence interval estimate oWhat does the result suggest about the mean wake time of t 50 min beture the treatment? Does the drug appear to be effective?Construct the 90% confidence interval estimate of the mean wake time for a population with the treatment(Round to one decimal place as needed)What does the result suggest about the mean wake time of 105.0 min before the treatment? Does the drug appear to be effective?The confidence intervalof 105.0 min before the treatment, so the means before and after the treatmentThis result suggests that the dog treatmentwe ime of 957INang treatments

Sample size, n = 14Sample mean, Sample standard deviation, s = 21.7Confidence level = 99%

Answered: Adinical trial was conducted to test…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The mean age when smokers first start is 13 years old with a population standard deviation of 1.9 years. A researcher thinks that smoking age has significantly changed since the invention of ENDS-electronic nicotine delivery systems. A survey of smokers of this generation was done to see if the mean age has changed. The sample of 31 smokers found that their mean starting age was 12.3 years old. Do the data support the claim at the 5% significance level? What are the correct hypotheses? Ho: Select an answer v ? v years H1: Select an answer v years Based on the hypotheses, find the following: Test Statistic z = (Round to 4 decimal places.) Critical Values = + (Round to 2 decimal places.) Based on the above we choose to Select an answer The correct summary would be: Select an answer that the mean age smokers first start is different than 13.
The mean age when smokers first start is 13 years old with a population standard deviation of 1.9 years. A researcher thinks that smoking age has significantly changed since the invention of ENDS—electronic nicotine delivery systems. A survey of smokers of this generation was done to see if the mean age has changed. The sample of 32 smokers found that their mean starting age was 12.4 years old. Do the data support the claim at the 1% significance level? What are the correct hypotheses? H0: yearsH1: years Based on the hypotheses, find the following: Test Statistic z = ________ (Give answer to at least 4 decimal places)Critical Values =± _______ (Give answer to at least 4 decimal places) Based on the above we choose to ____________ The correct summary would be: _________ that the claim that the mean age smokers first start is different than 13.
The mean age when smokers first start is 13 years old with a population standard deviation of 1.8 years. A researcher thinks that smoking age has significantly changed since the invention of ENDS—electronic nicotine delivery systems. A survey of smokers of this generation was done to see if the mean age has changed. The sample of 33 smokers found that their mean starting age was 12.3 years old. Do the data support the claim at the 5% significance level? What are the correct hypotheses? Based on the hypotheses, find the following: Test Statistic z = (Give answer to at least 2 decimal places) From the table(https://ma336.qccmathcs.com/ ), Find p-value = (Give answer to at least 4 decimal places)
The mean age when smokers first start is 13 years old with a population standard deviation of 1.9 years. A researcher thinks that smoking age has significantly changed since the invention of ENDS-electronic nicotine delivery systems. A survey of smokers of this generation was done to see if the mean age has changed. The sample of 31 smokers found that their mean starting age was 12 years old. Do the data support the claim at the 1% significance level? What are the correct hypotheses? Ho: LU Test Statistic z = #v Critical Values =+ O OF 13 H₁: u Based on the hypotheses, find the following: 13 o years (Round to 4 decimal places.) (Round to 2 decimal places.) Based on the above we choose to Reject the null hypothesis years The correct summary would be: There is enough evidence to support the claim smokers first start is different than 13. that the mean age
The manufacturer of a particular brand of tires claims they average at least 50,000 miles before needing to be replaced. From past studies of this tire, it is known that the population standard deviation is 8,000 miles. A survey of tire owners was conducted. From the 28 tires surveyed, the mean lifespan was 46500 miles. Using alpha = 0.05, can we prove that the data in inconsistent with the manufacturers claim? We should use a test. What are the correct hypotheses? H0: Ha: Based on the hypotheses, find the following:Test Statistic=p-value= The correct decision is to . The correct conclusion would be:
The mean age when smokers first start is 13 years old with a population standard deviation of 1.9 years. A researcher thinks that smoking age has significantly changed since the invention of ENDS- electronic nicotine delivery systems. A survey of smokers of this generation was done to see if the mean age has changed. The sample of 30 smokers found that their mean starting age was 12.2 years old. Do the data support the claim at the 1% significance level? What are the correct hypotheses? Ho: Select an answer v ? v years H3: Select an answer v years The test is: O One-tailed O Two-tailed
During the past year, the flight times between two cities was reported to have a population standard deviation of 20 minutes. What would the margin of error be if a sample of 64 was used for estimating the mean flight time between the two cities and with a confidence level of 95%
Tesla claims that it’s latest battery will take only 1 hour to recharge and the battery will last more than double the time of a normal battery. On average, their battery lasts for 70 months. A research group wanted to test that claim. They took a sample of 50 batteries and they found that on average a Tesla battery would last 67 months with a standard deviation of 3.5 months. Using a 3% significance level can you conclude that the mean life of all the Tesla batteries is less than 70 months. (Use the P values approach)
which one is right?
can someone please help me? I keep getting this wrong so if someone could explain that would help so much. Thanks!! the t statistic test is -3.108 by the way!

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